Summary of Team Ryu’s Submission to Sigmorphon 2024 Shared Task on Subword Tokenization, by Zilong Li
Team Ryu’s Submission to SIGMORPHON 2024 Shared Task on Subword Tokenizationby Zilong LiFirst submitted to…
Summary of Autotrain: No-code Training For State-of-the-art Models, by Abhishek Thakur
AutoTrain: No-code training for state-of-the-art modelsby Abhishek ThakurFirst submitted to arxiv on: 21 Oct 2024CategoriesMain:…
Summary of Glitchminer: Mining Glitch Tokens in Large Language Models Via Gradient-based Discrete Optimization, by Zihui Wu et al.
GlitchMiner: Mining Glitch Tokens in Large Language Models via Gradient-based Discrete Optimizationby Zihui Wu, Haichang…
Summary of Efficient Vision-language Models by Summarizing Visual Tokens Into Compact Registers, By Yuxin Wen et al.
Efficient Vision-Language Models by Summarizing Visual Tokens into Compact Registersby Yuxin Wen, Qingqing Cao, Qichen…
Summary of Scaled and Inter-token Relation Enhanced Transformer For Sample-restricted Residential Nilm, by Minhajur Rahman et al.
Scaled and Inter-token Relation Enhanced Transformer for Sample-restricted Residential NILMby Minhajur Rahman, Yasir ArafatFirst submitted…
Summary of Language Models As Semiotic Machines: Reconceptualizing Ai Language Systems Through Structuralist and Post-structuralist Theories Of Language, by Elad Vromen
Language Models as Semiotic Machines: Reconceptualizing AI Language Systems through Structuralist and Post-Structuralist Theories of…
Summary of Preflexor: Preference-based Recursive Language Modeling For Exploratory Optimization Of Reasoning and Agentic Thinking, by Markus J. Buehler
PRefLexOR: Preference-based Recursive Language Modeling for Exploratory Optimization of Reasoning and Agentic Thinkingby Markus J.…
Summary of Stabilize the Latent Space For Image Autoregressive Modeling: a Unified Perspective, by Yongxin Zhu et al.
Stabilize the Latent Space for Image Autoregressive Modeling: A Unified Perspectiveby Yongxin Zhu, Bocheng Li,…
Summary of Large-scale Cloze Evaluation Reveals That Token Prediction Tasks Are Neither Lexically Nor Semantically Aligned, by Cassandra L. Jacobs et al.
Large-scale cloze evaluation reveals that token prediction tasks are neither lexically nor semantically alignedby Cassandra…
Summary of Characterizing Model Collapse in Large Language Models Using Semantic Networks and Next-token Probability, by Daniele Gambetta et al.
Characterizing Model Collapse in Large Language Models Using Semantic Networks and Next-Token Probabilityby Daniele Gambetta,…